8916544 1935 Hilde Weerts 14 Supervised Classification 8315 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1) 6853560 categorical_features [] 7644 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7644 handle_unknown "ignore" 7644 n_values "auto" 7644 sparse true 7644 threshold 0.0 7645 bootstrap false 7684 class_weight null 7684 criterion "gini" 7684 max_depth null 7684 max_features 0.006749864620427037 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 18 7684 min_samples_split 14 7684 min_weight_fraction_leaf 0.0 7684 n_estimators 500 7684 n_jobs 1 7684 oob_score false 7684 random_state 1 7684 verbose 0 7684 warm_start false 7684 memory null 8315 axis 0 8316 categorical_features [] 8316 copy true 8316 fill_empty 0 8316 missing_values "NaN" 8316 strategy "mean" 8316 strategy_nominal "most_frequent" 8316 verbose 0 8316 openml-python Sklearn_0.19.1. study_98 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18748724 description https://api.openml.org/data/download/18748724/description.xml -1 18748725 predictions https://api.openml.org/data/download/18748725/predictions.arff area_under_roc_curve 0.9637261111111111 [0.999919,0.933603,0.9916,0.977708,0.941142,0.985883,0.919178,0.987394,0.985619,0.915214] average_cost 0 f_measure 0.7737003606119973 [0.992443,0.697201,0.915842,0.841026,0.737705,0.851259,0.443804,0.832579,0.913753,0.511392] kappa 0.7566666666666667 kb_relative_information_score 868.0323529942497 mean_absolute_error 0.13877069976847933 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7735912354828034 [1,0.709845,0.906863,0.863158,0.813253,0.78481,0.52381,0.760331,0.855895,0.517949] predictive_accuracy 0.7809999999999999 prior_entropy 3.321928094887362 recall 0.781 [0.985,0.685,0.925,0.82,0.675,0.93,0.385,0.92,0.98,0.505] relative_absolute_error 0.7709483320470837 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2409235222336631 root_relative_squared_error 0.8030784074455313 total_cost 0 area_under_roc_curve 0.9665277777777778 [0.999722,0.942778,0.990278,0.971667,0.956667,0.999444,0.869167,0.986944,0.997222,0.951389] area_under_roc_curve 0.9627777777777777 [1,0.946111,0.986944,0.975556,0.9125,0.989722,0.933611,0.986944,0.968611,0.927778] area_under_roc_curve 0.9617500000000001 [1,0.926944,0.995,0.974722,0.935,0.988611,0.915,0.976944,0.999722,0.905556] area_under_roc_curve 0.9703611111111112 [1,0.934722,0.998611,0.993889,0.996944,0.990278,0.938333,0.978056,0.956111,0.916667] area_under_roc_curve 0.9591666666666667 [1,0.888889,0.986667,0.961389,0.930278,0.989722,0.914722,0.988889,0.998611,0.9325] area_under_roc_curve 0.962972222222222 [0.999722,0.934167,0.998889,0.948611,0.949722,0.973056,0.924444,0.995556,1,0.905556] area_under_roc_curve 0.9629722222222223 [1,0.926944,0.989167,0.991111,0.915833,0.957222,0.951667,0.990278,0.998056,0.909444] area_under_roc_curve 0.9726111111111112 [1,0.950278,0.996944,0.992222,0.934444,0.995278,0.933889,0.991111,0.996944,0.935] area_under_roc_curve 0.9681944444444445 [1,0.921944,0.999722,0.988056,0.972222,0.980278,0.931667,0.995833,0.999444,0.892778] area_under_roc_curve 0.9550555555555558 [1,0.967222,0.974444,0.976389,0.919722,0.997778,0.891944,0.99,0.943333,0.889722] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.7395398952029333 [0.974359,0.769231,0.8,0.833333,0.820513,0.930233,0.277778,0.75,0.851064,0.388889] f_measure 0.7523173213473838 [1,0.702703,0.926829,0.871795,0.666667,0.837209,0.363636,0.790698,0.863636,0.5] f_measure 0.7774628806865649 [0.974359,0.590909,0.923077,0.789474,0.769231,0.755556,0.5625,0.857143,0.952381,0.6] f_measure 0.7938157304188218 [0.974359,0.611111,0.974359,0.837209,0.761905,0.863636,0.5625,0.829268,0.904762,0.619048] f_measure 0.7392585834201563 [1,0.486486,0.918919,0.829268,0.606061,0.791667,0.529412,0.76,0.930233,0.540541] f_measure 0.7931390227993655 [1,0.810811,0.930233,0.789474,0.842105,0.844444,0.375,0.909091,0.930233,0.5] f_measure 0.786590512784494 [1,0.7,0.894737,0.878049,0.742857,0.837209,0.585366,0.851064,0.952381,0.424242] f_measure 0.8317565488715143 [1,0.809524,0.952381,0.871795,0.727273,0.878049,0.634146,0.837209,0.97561,0.631579] f_measure 0.78548435482646 [1,0.736842,1,0.9,0.685714,0.863636,0.285714,0.888889,0.952381,0.541667] f_measure 0.7266361309253146 [1,0.744186,0.85,0.8,0.722222,0.926829,0.210526,0.851064,0.837209,0.324324] kappa 0.7222222222222222 kappa 0.7333333333333334 kappa 0.7555555555555555 kappa 0.7777777777777778 kappa 0.7222222222222222 kappa 0.7833333333333334 kappa 0.7722222222222223 kappa 0.8166666666666667 kappa 0.7777777777777778 kappa 0.7055555555555556 kb_relative_information_score 84.71604469630553 kb_relative_information_score 89.66065072924397 kb_relative_information_score 84.02545707811163 kb_relative_information_score 85.9065378786091 kb_relative_information_score 85.40942283142282 kb_relative_information_score 88.7864091583567 kb_relative_information_score 87.87673329860982 kb_relative_information_score 88.38652300342689 kb_relative_information_score 88.73995784003085 kb_relative_information_score 84.5246164801341 mean_absolute_error 0.14025994841594844 mean_absolute_error 0.13657763607708567 mean_absolute_error 0.14088586924803598 mean_absolute_error 0.13994330660484056 mean_absolute_error 0.13875032373916388 mean_absolute_error 0.1371593185473218 mean_absolute_error 0.1376679598633226 mean_absolute_error 0.13909482841188178 mean_absolute_error 0.13745164692584577 mean_absolute_error 0.13991615985134728 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.7399384905500466 [1,0.789474,0.72,0.9375,0.842105,0.869565,0.3125,0.75,0.740741,0.4375] precision 0.7547482221193352 [1,0.764706,0.904762,0.894737,0.75,0.782609,0.461538,0.73913,0.791667,0.458333] precision 0.7869114832535884 [1,0.541667,0.947368,0.833333,0.789474,0.68,0.75,0.818182,0.909091,0.6] precision 0.8003117353660832 [1,0.6875,1,0.782609,0.727273,0.791667,0.75,0.809524,0.863636,0.590909] precision 0.7520728759731319 [1,0.529412,1,0.809524,0.769231,0.678571,0.642857,0.633333,0.869565,0.588235] precision 0.7937038931514635 [1,0.882353,0.869565,0.833333,0.888889,0.76,0.5,0.833333,0.869565,0.5] precision 0.7910584423627902 [1,0.7,0.944444,0.857143,0.866667,0.782609,0.571429,0.740741,0.909091,0.538462] precision 0.8377478737890637 [1,0.772727,0.909091,0.894737,0.923077,0.857143,0.619048,0.782609,0.952381,0.666667] precision 0.7942821067821068 [1,0.777778,1,0.9,0.8,0.791667,0.5,0.8,0.909091,0.464286] precision 0.7294760247094007 [1,0.695652,0.85,0.933333,0.8125,0.904762,0.222222,0.740741,0.782609,0.352941] predictive_accuracy 0.75 predictive_accuracy 0.76 predictive_accuracy 0.78 predictive_accuracy 0.8 predictive_accuracy 0.75 predictive_accuracy 0.805 predictive_accuracy 0.795 predictive_accuracy 0.835 predictive_accuracy 0.8 predictive_accuracy 0.735 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.75 [0.95,0.75,0.9,0.75,0.8,1,0.25,0.75,1,0.35] recall 0.76 [1,0.65,0.95,0.85,0.6,0.9,0.3,0.85,0.95,0.55] recall 0.78 [0.95,0.65,0.9,0.75,0.75,0.85,0.45,0.9,1,0.6] recall 0.8 [0.95,0.55,0.95,0.9,0.8,0.95,0.45,0.85,0.95,0.65] recall 0.75 [1,0.45,0.85,0.85,0.5,0.95,0.45,0.95,1,0.5] recall 0.805 [1,0.75,1,0.75,0.8,0.95,0.3,1,1,0.5] recall 0.795 [1,0.7,0.85,0.9,0.65,0.9,0.6,1,1,0.35] recall 0.835 [1,0.85,1,0.85,0.6,0.9,0.65,0.9,1,0.6] recall 0.8 [1,0.7,1,0.9,0.6,0.95,0.2,1,1,0.65] recall 0.735 [1,0.8,0.85,0.7,0.65,0.95,0.2,1,0.9,0.3] relative_absolute_error 0.7792219356441589 relative_absolute_error 0.758764644872699 relative_absolute_error 0.7826992736002008 relative_absolute_error 0.7774628144713374 relative_absolute_error 0.7708351318842446 relative_absolute_error 0.7619962141517885 relative_absolute_error 0.7648219992406818 relative_absolute_error 0.7727490467326774 relative_absolute_error 0.763620260699144 relative_absolute_error 0.7773119991741525 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.2432358182277847 root_mean_squared_error 0.23815812102193337 root_mean_squared_error 0.2436783590691217 root_mean_squared_error 0.24219807477888589 root_mean_squared_error 0.24173032875584405 root_mean_squared_error 0.2384582730641792 root_mean_squared_error 0.23963678710977532 root_mean_squared_error 0.24032510558171297 root_mean_squared_error 0.2389545800527702 root_mean_squared_error 0.2427803418758895 root_relative_squared_error 0.8107860607592827 root_relative_squared_error 0.793860403406445 root_relative_squared_error 0.8122611968970728 root_relative_squared_error 0.80732691592962 root_relative_squared_error 0.8057677625194806 root_relative_squared_error 0.7948609102139311 root_relative_squared_error 0.7987892903659183 root_relative_squared_error 0.801083685272377 root_relative_squared_error 0.7965152668425678 root_relative_squared_error 0.8092678062529655 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 4454.089917999227 usercpu_time_millis 4502.1246039978 usercpu_time_millis 4505.895484999201 usercpu_time_millis 4437.298154996824 usercpu_time_millis 4413.36444800254 usercpu_time_millis 4459.711078998225 usercpu_time_millis 4378.100220001215 usercpu_time_millis 4330.3475879984035 usercpu_time_millis 4297.659923999163 usercpu_time_millis 4380.153427002369 usercpu_time_millis_testing 92.2438620000321 usercpu_time_millis_testing 91.76368800035561 usercpu_time_millis_testing 96.7160000000149 usercpu_time_millis_testing 93.43124499719124 usercpu_time_millis_testing 92.02243400068255 usercpu_time_millis_testing 93.57622899915441 usercpu_time_millis_testing 93.49008100252831 usercpu_time_millis_testing 92.94300100009423 usercpu_time_millis_testing 93.23398499691393 usercpu_time_millis_testing 94.33526100110612 usercpu_time_millis_training 4361.8460559991945 usercpu_time_millis_training 4410.360915997444 usercpu_time_millis_training 4409.179484999186 usercpu_time_millis_training 4343.866909999633 usercpu_time_millis_training 4321.342014001857 usercpu_time_millis_training 4366.134849999071 usercpu_time_millis_training 4284.610138998687 usercpu_time_millis_training 4237.404586998309 usercpu_time_millis_training 4204.425939002249 usercpu_time_millis_training 4285.818166001263